Data Mining in The NBA: An Applied Approach

被引：0
|
作者：
Hewko, Jordan [1 ]
Sullivan, Robert [1 ]
Reige, Shaun [1 ]
El-Hajj, Mohamad [1 ]
机构：
[1] MacEwan Univ, Dept Comp Sci, Edmonton, AB, Canada
来源：
2019 IEEE 10TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON) | 2019年
关键词：
Sport; NBA; Data Mining; Association Rules; Naive Bayes; Decision Trees;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work aims to analyze the last 6 years of professional basketball data using knowledge discovery tools. The goal is to outline some insight into how teams win and what separates these winning teams from the losing teams. Using Microsoft SQL Server Management Studio, Microsoft Business Intelligence, R and PowerBl, we analyzed regular season game data to find previously unknown trends between winning and losing teams. Using decision trees, naive Bayes and association rules, we will look at defensive and offensive data between teams. The following stats are considered: defensive and offensive rebounds, blocks, steals, turnovers, 2 point shot percentage and 3 point shot percentage. Results show that teams who earn more defensive rebounds win more games while teams that earn higher than average offensive rebounds lose more games. This is because teams that get more offensive rebounds are missing more of their shots.
引用
收藏
页码：426 / 432
页数：7
相关论文
共 50 条
  • [1] Advanced scout: Data mining and knowledge discovery in NBA data
    Bhandari, I
    Colet, E
    Parker, J
    Pines, Z
    Pratap, R
    Ramanujam, K
    DATA MINING AND KNOWLEDGE DISCOVERY, 1997, 1 (01) : 121 - 125
  • [2] Advanced Scout: Data Mining and Knowledge Discovery in NBA Data
    Inderpal Bhandari
    Edward Colet
    Jennifer Parker
    Zachary Pines
    Rajiv Pratap
    Krishnakumar Ramanujam
    Data Mining and Knowledge Discovery, 1997, 1 : 121 - 125
  • [3] Applied Data Mining Approach in Ubiquitous World of Air Transportation
    Reza, Saybani Mahmoud
    Teh, Ying Wah
    Lahsasna, Adel
    ICCIT: 2009 FOURTH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND CONVERGENCE INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2009, : 1218 - 1222
  • [4] A Data Mining Approach Applied to Wireless Sensor Neworks in Greenhouses
    Castellanos-Garzon, Jose A.
    Mezquita Martin, Yeray
    Jaimes S, Jose Luis
    Lopez G, Santiago M.
    DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 2019, 801 : 431 - 436
  • [5] Data mining techniques applied to a manufacturing SME
    Packianather, Michael S.
    Davies, Alan
    Harraden, Sam
    Soman, Sajith
    White, John
    10TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME '16, 2017, 62 : 123 - 128
  • [6] Analysis of cancer data: a data mining approach
    Delen, Dursun
    EXPERT SYSTEMS, 2009, 26 (01) : 100 - 112
  • [7] Classification Algorithms of Data Mining Applied for Demographic Processes
    Ionita, Irina
    Ionita, Liviu
    BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, 2018, 9 (01): : 94 - 100
  • [8] A data mining approach to database compression
    Chin-Feng Lee
    S. Wesley Changchien
    Wei-Tse Wang
    Jau-Ji Shen
    Information Systems Frontiers, 2006, 8 : 147 - 161
  • [9] A data mining approach to database compression
    Lee, Chin-Feng
    Changchien, S. Wesley
    Wang, Wei-Tse
    Shen, Jau-Ji
    INFORMATION SYSTEMS FRONTIERS, 2006, 8 (03) : 147 - 161
  • [10] Data mining techniques applied in educational environments: Literature review
    Villanueva Manjarres, Andres
    Moreno Sandoval, Luis Gabriel
    Salinas Suarez, Martha Janneth
    DIGITAL EDUCATION REVIEW, 2018, (33): : 235 - 266
12345